Fast road detection based on a dual-stage structure

Xun Pan, Wa Si, Harutoshi Ogai

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

Road detection is an important research subject in autonomous driving. Both accuracy and efficiency are very important for road detection used in autonomous driving systems. However, these two properties are usually contradictory under certain calculation resources. In this paper, we make a good compromise between accuracy and efficiency by proposing a dual-stage detecting strategy, which consists of a fast Hough transform based road detection method and a reliable vanishing point based method. A dynamic region of interest (ROI) is proposed as a connector of the two stages. Experiments prove that our method can achieve good performance on both accuracy and efficiency.

元の言語English
ホスト出版物のタイトルProceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017
出版者Association for Computing Machinery
ページ155-162
ページ数8
Part F127852
ISBN(電子版)9781450348096
DOI
出版物ステータスPublished - 2017 2 18
イベント9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia
継続期間: 2017 2 182017 2 21

Other

Other9th International Conference on Computer and Automation Engineering, ICCAE 2017
Australia
Sydney
期間17/2/1817/2/21

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • これを引用

    Pan, X., Si, W., & Ogai, H. (2017). Fast road detection based on a dual-stage structure. : Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017 (巻 Part F127852, pp. 155-162). Association for Computing Machinery. https://doi.org/10.1145/3057039.3057101